I'm a final year Computer Science Engineering student at Saveetha Engineering College, Chennai (2023–2027, CGPA 7.7). My passion lies at the intersection of AI, quantum computing, Cloud computing, Machine Learning and Data Engineering.
My work spans multi-agent LLM pipelines, risk-aware ML systems, quantum algorithms (BB84, Grover's, QAOA), and full-stack engineering — always with an eye toward production-level quality.
My Skills
My Works
Projects in ML, Quantum Computing, AI, and Web Engineering
Agentic SSO System
Built at Thiran 2026 Hackathon — an AI-powered Single Sign-On that uses LLM agents for intelligent auth routing, multi-provider federation, and adaptive IAM policies.
Multi-Agent AI for Artisans
Orchestrated LLM pipeline generating product storytelling, auto-replies, and sales collateral for Indian local artisans — enabling digital commerce at scale.
BB84 Protocol — Qiskit
Implemented BB84 quantum key distribution and Grover's search algorithm using Qiskit. Full circuit simulation, measurement, and cryptographic key generation.
Fraud / Transaction Risk Detector
End-to-end ML prototype that flags suspicious transactions using tabular features and classification. Directly applicable to JP Morgan / Barclays risk systems.
Credit Score Prediction Model
ML model predicting credit scores from financial history using XGBoost. Feature engineering, model evaluation, and performance optimization across metrics.
AI Customer Assistance Bot
Intelligent chatbot handling repetitive customer queries with NLP and intent classification. Reduces support overhead and enables 24/7 automated assistance.
Certifications Earned
Validated expertise across Cloud, AI, and Infrastructure
AWS Certified Cloud Practitioner
Amazon Web Services
Machine Learning Professional Certificate
IBM
AI/ML Professional Certificate
Microsoft
Multimodal RAG using Vertex AI Gemini API
Google Cloud
Introduction to Vertex AI Studio
Google Cloud Skills Boost
Google Cloud Fundamentals: Core Infrastructure
Google Cloud
Red Hat System Administration II (RH134 – RHA) v9.3
Red Hat